Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	97
Missing cells	95
Missing cells (%)	3.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	22.1 KiB
Average record size in memory	233.3 B

Variable types

Numeric	9
Categorical	20

Alerts

`type` has constant value "regular"	Constant
`airdate` has constant value "2020-12-01"	Constant
`url` has a high cardinality: 97 distinct values	High cardinality
`name` has a high cardinality: 92 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 67 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 67 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 63 distinct values	High cardinality
`_embedded_show_summary` has a high cardinality: 59 distinct values	High cardinality
`_links_self_href` has a high cardinality: 97 distinct values	High cardinality
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_summary` and 16 other fields	High correlation
`summary` is highly correlated with `url` and 5 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`url` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`image` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 16 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`name` is highly correlated with `url` and 4 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_links_self_href` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 16 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`id` is highly correlated with `url` and 21 other fields	High correlation
`url` is highly correlated with `id` and 25 other fields	High correlation
`name` is highly correlated with `id` and 19 other fields	High correlation
`season` is highly correlated with `url` and 10 other fields	High correlation
`number` is highly correlated with `url` and 15 other fields	High correlation
`airtime` is highly correlated with `id` and 17 other fields	High correlation
`airstamp` is highly correlated with `id` and 20 other fields	High correlation
`runtime` is highly correlated with `id` and 17 other fields	High correlation
`image` is highly correlated with `id` and 24 other fields	High correlation
`summary` is highly correlated with `url` and 17 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_type` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_status` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_weight` is highly correlated with `url` and 17 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `id` and 13 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 16 other fields	High correlation
`_links_self_href` is highly correlated with `id` and 25 other fields	High correlation
`runtime` has 5 (5.2%) missing values	Missing
`image` has 71 (73.2%) missing values	Missing
`_embedded_show_runtime` has 16 (16.5%) missing values	Missing
`_embedded_show_averageRuntime` has 3 (3.1%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`image` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique
`_embedded_show_weight` has 1 (1.0%) zeros	Zeros

Reproduction

Analysis started	2022-05-10 01:58:50.636464
Analysis finished	2022-05-10 01:59:30.626687
Duration	39.99 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	97
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2014731.062

Minimum	1939481
Maximum	2318095
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	904.0 B

Quantile statistics

Minimum	1939481
5-th percentile	1964246.8
Q1	1976152
median	1978545
Q3	2033286
95-th percentile	2181573.6
Maximum	2318095
Range	378614
Interquartile range (IQR)	57134

Descriptive statistics

Standard deviation	78343.18031
Coefficient of variation (CV)	0.03888518016
Kurtosis	6.66796281
Mean	2014731.062
Median Absolute Deviation (MAD)	9332
Skewness	2.584968683
Sum	195428913
Variance	6137653901
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1979824	1	1.0%
1976026	1	1.0%
2033290	1	1.0%
2033289	1	1.0%
2033288	1	1.0%
2033287	1	1.0%
2033286	1	1.0%
2033285	1	1.0%
2033284	1	1.0%
1988299	1	1.0%
Other values (87)	87	89.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1939481	1	1.0%
1956844	1	1.0%
1960028	1	1.0%
1960496	1	1.0%
1963910	1	1.0%
1964331	1	1.0%
1964565	1	1.0%
1968546	1	1.0%
1968547	1	1.0%
1969211	1	1.0%

Value	Count	Frequency (%)
2318095	1	1.0%
2315116	1	1.0%
2311017	1	1.0%
2287785	1	1.0%
2203396	1	1.0%
2176118	1	1.0%
2165005	1	1.0%
2161414	1	1.0%
2093132	1	1.0%
2093131	1	1.0%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	97
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16	1
https://www.tvmaze.com/episodes/1976026/twisted-fate-of-love-1x15-episode-15	1
https://www.tvmaze.com/episodes/2033290/33-rebenka-1x07-7-seria	1
https://www.tvmaze.com/episodes/2033289/33-rebenka-1x06-6-seria	1
https://www.tvmaze.com/episodes/2033288/33-rebenka-1x05-5-seria	1
Other values (92)	92

Length

Max length	136
Median length	95
Mean length	76.49484536
Min length	58

Characters and Unicode

Total characters	7420
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	97 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16
2nd row	https://www.tvmaze.com/episodes/1979222/kotiki-1x02-seria-2
3rd row	https://www.tvmaze.com/episodes/2008027/lab-s-antonom-belaevym-2x06-lolita
4th row	https://www.tvmaze.com/episodes/1964565/core-sense-1x09-episode-9
5th row	https://www.tvmaze.com/episodes/2052503/wu-shen-zhu-zai-1x80-episode-80

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16	1	1.0%
https://www.tvmaze.com/episodes/1976026/twisted-fate-of-love-1x15-episode-15	1	1.0%
https://www.tvmaze.com/episodes/2033290/33-rebenka-1x07-7-seria	1	1.0%
https://www.tvmaze.com/episodes/2033289/33-rebenka-1x06-6-seria	1	1.0%
https://www.tvmaze.com/episodes/2033288/33-rebenka-1x05-5-seria	1	1.0%
https://www.tvmaze.com/episodes/2033287/33-rebenka-1x04-4-seria	1	1.0%
https://www.tvmaze.com/episodes/2033286/33-rebenka-1x03-3-seria	1	1.0%
https://www.tvmaze.com/episodes/2033285/33-rebenka-1x02-2-seria	1	1.0%
https://www.tvmaze.com/episodes/2033284/33-rebenka-1x01-1-seria	1	1.0%
https://www.tvmaze.com/episodes/1988299/nwa-shockwave-1x01-episode-1	1	1.0%
Other values (87)	87	89.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16	1	1.0%
https://www.tvmaze.com/episodes/1979222/kotiki-1x02-seria-2	1	1.0%
https://www.tvmaze.com/episodes/2008027/lab-s-antonom-belaevym-2x06-lolita	1	1.0%
https://www.tvmaze.com/episodes/1964565/core-sense-1x09-episode-9	1	1.0%
https://www.tvmaze.com/episodes/2052503/wu-shen-zhu-zai-1x80-episode-80	1	1.0%
https://www.tvmaze.com/episodes/2315116/sono-koi-mousukoshi-atatamemasuka-1x05-episode-5	1	1.0%
https://www.tvmaze.com/episodes/1973538/please-wait-brother-1x17-episode-17	1	1.0%
https://www.tvmaze.com/episodes/1973539/please-wait-brother-1x18-episode-18	1	1.0%
https://www.tvmaze.com/episodes/1984264/fearless-whispers-1x51-episode-51	1	1.0%
https://www.tvmaze.com/episodes/2082171/ling-jian-zun-4x28-di128ji	1	1.0%
Other values (87)	87	89.7%

Most occurring characters

Value	Count	Frequency (%)
e	622	8.4%
-	542	7.3%
/	485	6.5%
s	484	6.5%
t	451	6.1%
o	391	5.3%
w	326	4.4%
a	323	4.4%
i	282	3.8%
1	273	3.7%
Other values (29)	3241	43.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4962	66.9%
Decimal Number	1140	15.4%
Other Punctuation	776	10.5%
Dash Punctuation	542	7.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	622	12.5%
s	484	9.8%
t	451	9.1%
o	391	7.9%
w	326	6.6%
a	323	6.5%
i	282	5.7%
m	258	5.2%
p	250	5.0%
d	206	4.2%
Other values (15)	1369	27.6%

Decimal Number

Value	Count	Frequency (%)
1	273	23.9%
0	154	13.5%
2	147	12.9%
9	124	10.9%
3	118	10.4%
7	87	7.6%
8	80	7.0%
6	57	5.0%
4	50	4.4%
5	50	4.4%

Other Punctuation

Value	Count	Frequency (%)
/	485	62.5%
.	194	25.0%
:	97	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	542	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4962	66.9%
Common	2458	33.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	622	12.5%
s	484	9.8%
t	451	9.1%
o	391	7.9%
w	326	6.6%
a	323	6.5%
i	282	5.7%
m	258	5.2%
p	250	5.0%
d	206	4.2%
Other values (15)	1369	27.6%

Common

Value	Count	Frequency (%)
-	542	22.1%
/	485	19.7%
1	273	11.1%
.	194	7.9%
0	154	6.3%
2	147	6.0%
9	124	5.0%
3	118	4.8%
:	97	3.9%
7	87	3.5%
Other values (4)	237	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7420	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	622	8.4%
-	542	7.3%
/	485	6.5%
s	484	6.5%
t	451	6.1%
o	391	5.3%
w	326	4.4%
a	323	4.4%
i	282	3.8%
1	273	3.7%
Other values (29)	3241	43.7%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	92
Distinct (%)	94.8%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

Episode 9	2
Episode 12	2
Episode 17	2
Episode 18	2
Episode 1	2
Other values (87)	87

Length

Max length	61
Median length	43
Mean length	15.79381443
Min length	3

Characters and Unicode

Total characters	1532
Distinct characters	117
Distinct categories	10 ?
Distinct scripts	5 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	87 ?
Unique (%)	89.7%

Sample

1st row	Chanyeol's Episode 16
2nd row	Серия 2
3rd row	Лолита
4th row	Episode 9
5th row	Episode 80

Common Values

Value	Count	Frequency (%)
Episode 9	2	2.1%
Episode 12	2	2.1%
Episode 17	2	2.1%
Episode 18	2	2.1%
Episode 1	2	2.1%
Chanyeol's Episode 16	1	1.0%
1 серия	1	1.0%
9 серия	1	1.0%
8 серия	1	1.0%
7 серия	1	1.0%
Other values (82)	82	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	27	9.7%
серия	14	5.0%
	6	2.2%
the	5	1.8%
1	4	1.4%
wedding	3	1.1%
12	3	1.1%
6	3	1.1%
a	3	1.1%
9	3	1.1%
Other values (190)	207	74.5%

Most occurring characters

Value	Count	Frequency (%)
	181	11.8%
e	107	7.0%
i	79	5.2%
a	74	4.8%
s	74	4.8%
o	72	4.7%
d	57	3.7%
n	56	3.7%
r	50	3.3%
t	46	3.0%
Other values (107)	736	48.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1005	65.6%
Uppercase Letter	196	12.8%
Space Separator	181	11.8%
Decimal Number	93	6.1%
Other Punctuation	35	2.3%
Other Letter	16	1.0%
Open Punctuation	2	0.1%
Close Punctuation	2	0.1%
Currency Symbol	1	0.1%
Dash Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	107	10.6%
i	79	7.9%
a	74	7.4%
s	74	7.4%
o	72	7.2%
d	57	5.7%
n	56	5.6%
r	50	5.0%
t	46	4.6%
l	41	4.1%
Other values (39)	349	34.7%

Uppercase Letter

Value	Count	Frequency (%)
E	40	20.4%
S	19	9.7%
B	13	6.6%
C	13	6.6%
A	13	6.6%
H	9	4.6%
T	8	4.1%
N	7	3.6%
D	7	3.6%
I	7	3.6%
Other values (22)	60	30.6%

Other Letter

Value	Count	Frequency (%)
و	3	18.8%
ا	2	12.5%
第	1	6.2%
集	1	6.2%
ه	1	6.2%
ل	1	6.2%
ر	1	6.2%
گ	1	6.2%
ب	1	6.2%
ز	1	6.2%
Other values (3)	3	18.8%

Decimal Number

Value	Count	Frequency (%)
1	27	29.0%
2	15	16.1%
0	8	8.6%
8	8	8.6%
6	8	8.6%
3	7	7.5%
4	6	6.5%
9	6	6.5%
5	5	5.4%
7	3	3.2%

Other Punctuation

Value	Count	Frequency (%)
'	9	25.7%
.	8	22.9%
&	5	14.3%
,	4	11.4%
?	3	8.6%
!	3	8.6%
"	2	5.7%
:	1	2.9%

Space Separator

Value	Count	Frequency (%)
	181	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Currency Symbol

Value	Count	Frequency (%)
£	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1032	67.4%
Common	315	20.6%
Cyrillic	169	11.0%
Arabic	14	0.9%
Han	2	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	107	10.4%
i	79	7.7%
a	74	7.2%
s	74	7.2%
o	72	7.0%
d	57	5.5%
n	56	5.4%
r	50	4.8%
t	46	4.5%
l	41	4.0%
Other values (39)	376	36.4%

Cyrillic

Value	Count	Frequency (%)
р	20	11.8%
с	19	11.2%
и	19	11.2%
е	18	10.7%
а	17	10.1%
я	14	8.3%
о	9	5.3%
м	6	3.6%
т	6	3.6%
к	5	3.0%
Other values (22)	36	21.3%

Common

Value	Count	Frequency (%)
	181	57.5%
1	27	8.6%
2	15	4.8%
'	9	2.9%
0	8	2.5%
8	8	2.5%
.	8	2.5%
6	8	2.5%
3	7	2.2%
4	6	1.9%
Other values (13)	38	12.1%

Arabic

Value	Count	Frequency (%)
و	3	21.4%
ا	2	14.3%
ه	1	7.1%
ل	1	7.1%
ر	1	7.1%
گ	1	7.1%
ب	1	7.1%
ز	1	7.1%
ی	1	7.1%
س	1	7.1%

Han

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1341	87.5%
Cyrillic	169	11.0%
Arabic	14	0.9%
None	6	0.4%
CJK	2	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	181	13.5%
e	107	8.0%
i	79	5.9%
a	74	5.5%
s	74	5.5%
o	72	5.4%
d	57	4.3%
n	56	4.2%
r	50	3.7%
t	46	3.4%
Other values (58)	545	40.6%

Cyrillic

Value	Count	Frequency (%)
р	20	11.8%
с	19	11.2%
и	19	11.2%
е	18	10.7%
а	17	10.1%
я	14	8.3%
о	9	5.3%
м	6	3.6%
т	6	3.6%
к	5	3.0%
Other values (22)	36	21.3%

Arabic

Value	Count	Frequency (%)
و	3	21.4%
ا	2	14.3%
ه	1	7.1%
ل	1	7.1%
ر	1	7.1%
گ	1	7.1%
ب	1	7.1%
ز	1	7.1%
ی	1	7.1%
س	1	7.1%

None

Value	Count	Frequency (%)
ö	2	33.3%
ü	2	33.3%
á	1	16.7%
£	1	16.7%

CJK

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	10
Distinct (%)	10.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	189.4020619

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	904.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	588.4805055
Coefficient of variation (CV)	3.107043819
Kurtosis	6.258550389
Mean	189.4020619
Median Absolute Deviation (MAD)	0
Skewness	2.851213037
Sum	18372
Variance	346309.3054
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	70	72.2%
2020	9	9.3%
4	4	4.1%
2	4	4.1%
3	3	3.1%
7	2	2.1%
8	2	2.1%
10	1	1.0%
18	1	1.0%
31	1	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	70	72.2%
2	4	4.1%
3	3	3.1%
4	4	4.1%
7	2	2.1%
8	2	2.1%
10	1	1.0%
18	1	1.0%
31	1	1.0%
2020	9	9.3%

Value	Count	Frequency (%)
2020	9	9.3%
31	1	1.0%
18	1	1.0%
10	1	1.0%
8	2	2.1%
7	2	2.1%
4	4	4.1%
3	3	3.1%
2	4	4.1%
1	70	72.2%

number
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	42
Distinct (%)	43.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.51546392

Minimum	1
Maximum	328
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	904.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	11
Q3	22
95-th percentile	98.6
Maximum	328
Range	327
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	49.13037787
Coefficient of variation (CV)	1.852895277
Kurtosis	22.03667828
Mean	26.51546392
Median Absolute Deviation (MAD)	8
Skewness	4.322280109
Sum	2572
Variance	2413.794029
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
3	8	8.2%
1	7	7.2%
2	6	6.2%
9	5	5.2%
6	4	4.1%
4	4	4.1%
12	4	4.1%
11	4	4.1%
8	4	4.1%
7	4	4.1%
Other values (32)	47	48.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	7.2%
2	6	6.2%
3	8	8.2%
4	4	4.1%
5	3	3.1%
6	4	4.1%
7	4	4.1%
8	4	4.1%
9	5	5.2%
10	2	2.1%

Value	Count	Frequency (%)
328	1	1.0%
287	1	1.0%
141	1	1.0%
114	1	1.0%
105	1	1.0%
97	1	1.0%
93	1	1.0%
80	1	1.0%
72	1	1.0%
56	1	1.0%

type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

regular	97

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	679
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	97	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	97	100.0%

Most occurring characters

Value	Count	Frequency (%)
r	194	28.6%
e	97	14.3%
g	97	14.3%
u	97	14.3%
l	97	14.3%
a	97	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	679	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	194	28.6%
e	97	14.3%
g	97	14.3%
u	97	14.3%
l	97	14.3%
a	97	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	679	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	194	28.6%
e	97	14.3%
g	97	14.3%
u	97	14.3%
l	97	14.3%
a	97	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	679	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	194	28.6%
e	97	14.3%
g	97	14.3%
u	97	14.3%
l	97	14.3%
a	97	14.3%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

2020-12-01	97

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	970
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-01
2nd row	2020-12-01
3rd row	2020-12-01
4th row	2020-12-01
5th row	2020-12-01

Common Values

Value	Count	Frequency (%)
2020-12-01	97	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-01	97	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	291	30.0%
0	291	30.0%
-	194	20.0%
1	194	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	776	80.0%
Dash Punctuation	194	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	291	37.5%
0	291	37.5%
1	194	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	194	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	970	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	291	30.0%
0	291	30.0%
-	194	20.0%
1	194	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	970	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	291	30.0%
0	291	30.0%
-	194	20.0%
1	194	20.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	15.5%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

nan	63
20:00	13
06:00	6
10:00	2
12:00	2
Other values (10)	11

Length

Max length	5
Median length	3
Mean length	3.701030928
Min length	3

Characters and Unicode

Total characters	359
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	9.3%

Sample

1st row	06:00
2nd row	nan
3rd row	nan
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
nan	63	64.9%
20:00	13	13.4%
06:00	6	6.2%
10:00	2	2.1%
12:00	2	2.1%
20:40	2	2.1%
08:00	1	1.0%
17:00	1	1.0%
17:35	1	1.0%
00:00	1	1.0%
Other values (5)	5	5.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	63	64.9%
20:00	13	13.4%
06:00	6	6.2%
10:00	2	2.1%
12:00	2	2.1%
20:40	2	2.1%
08:00	1	1.0%
17:00	1	1.0%
17:35	1	1.0%
00:00	1	1.0%
Other values (5)	5	5.2%

Most occurring characters

Value	Count	Frequency (%)
n	126	35.1%
0	91	25.3%
a	63	17.5%
:	34	9.5%
2	20	5.6%
1	7	1.9%
6	6	1.7%
7	3	0.8%
5	3	0.8%
4	2	0.6%
Other values (2)	4	1.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	189	52.6%
Decimal Number	136	37.9%
Other Punctuation	34	9.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	91	66.9%
2	20	14.7%
1	7	5.1%
6	6	4.4%
7	3	2.2%
5	3	2.2%
4	2	1.5%
8	2	1.5%
3	2	1.5%

Lowercase Letter

Value	Count	Frequency (%)
n	126	66.7%
a	63	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	34	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	189	52.6%
Common	170	47.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	91	53.5%
:	34	20.0%
2	20	11.8%
1	7	4.1%
6	6	3.5%
7	3	1.8%
5	3	1.8%
4	2	1.2%
8	2	1.2%
3	2	1.2%

Latin

Value	Count	Frequency (%)
n	126	66.7%
a	63	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	359	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	126	35.1%
0	91	25.3%
a	63	17.5%
:	34	9.5%
2	20	5.6%
1	7	1.9%
6	6	1.7%
7	3	0.8%
5	3	0.8%
4	2	0.6%
Other values (2)	4	1.1%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	20.6%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

2020-12-01T12:00:00+00:00	63
2020-12-01T05:00:00+00:00	5
2020-12-01T04:00:00+00:00	4
2020-12-01T17:00:00+00:00	4
2020-12-01T09:00:00+00:00	2
Other values (15)	19

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2425
Distinct characters	13
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	11.3%

Sample

1st row	2020-11-30T21:00:00+00:00
2nd row	2020-12-01T00:00:00+00:00
3rd row	2020-12-01T00:00:00+00:00
4th row	2020-12-01T02:00:00+00:00
5th row	2020-12-01T02:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-01T12:00:00+00:00	63	64.9%
2020-12-01T05:00:00+00:00	5	5.2%
2020-12-01T04:00:00+00:00	4	4.1%
2020-12-01T17:00:00+00:00	4	4.1%
2020-12-01T09:00:00+00:00	2	2.1%
2020-12-01T02:00:00+00:00	2	2.1%
2020-12-01T19:40:00+00:00	2	2.1%
2020-12-01T00:00:00+00:00	2	2.1%
2020-12-01T11:00:00+00:00	2	2.1%
2020-12-01T13:00:00+00:00	1	1.0%
Other values (10)	10	10.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-01t12:00:00+00:00	63	64.9%
2020-12-01t05:00:00+00:00	5	5.2%
2020-12-01t04:00:00+00:00	4	4.1%
2020-12-01t17:00:00+00:00	4	4.1%
2020-12-01t09:00:00+00:00	2	2.1%
2020-12-01t02:00:00+00:00	2	2.1%
2020-12-01t19:40:00+00:00	2	2.1%
2020-12-01t00:00:00+00:00	2	2.1%
2020-12-01t11:00:00+00:00	2	2.1%
2020-12-01t07:00:00+00:00	1	1.0%
Other values (10)	10	10.3%

Most occurring characters

Value	Count	Frequency (%)
0	1082	44.6%
2	358	14.8%
:	291	12.0%
1	272	11.2%
-	194	8.0%
T	97	4.0%
+	97	4.0%
5	9	0.4%
4	7	0.3%
3	7	0.3%
Other values (3)	11	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1746	72.0%
Other Punctuation	291	12.0%
Dash Punctuation	194	8.0%
Uppercase Letter	97	4.0%
Math Symbol	97	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1082	62.0%
2	358	20.5%
1	272	15.6%
5	9	0.5%
4	7	0.4%
3	7	0.4%
7	5	0.3%
9	5	0.3%
6	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	291	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	194	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	97	100.0%

Math Symbol

Value	Count	Frequency (%)
+	97	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2328	96.0%
Latin	97	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1082	46.5%
2	358	15.4%
:	291	12.5%
1	272	11.7%
-	194	8.3%
+	97	4.2%
5	9	0.4%
4	7	0.3%
3	7	0.3%
7	5	0.2%
Other values (2)	6	0.3%

Latin

Value	Count	Frequency (%)
T	97	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2425	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1082	44.6%
2	358	14.8%
:	291	12.0%
1	272	11.2%
-	194	8.0%
T	97	4.0%
+	97	4.0%
5	9	0.4%
4	7	0.3%
3	7	0.3%
Other values (3)	11	0.5%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	35
Distinct (%)	38.0%
Missing	5
Missing (%)	5.2%
Infinite	0
Infinite (%)	0.0%
Mean	31.97826087

Minimum	5
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	904.0 B

Quantile statistics

Minimum	5
5-th percentile	7.55
Q1	13
median	25.5
Q3	45
95-th percentile	73.5
Maximum	120
Range	115
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	23.05367757
Coefficient of variation (CV)	0.7209171777
Kurtosis	3.842036567
Mean	31.97826087
Median Absolute Deviation (MAD)	13.5
Skewness	1.683990037
Sum	2942
Variance	531.4720497
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
45	15	15.5%
13	11	11.3%
12	5	5.2%
14	4	4.1%
23	4	4.1%
30	4	4.1%
15	3	3.1%
37	3	3.1%
60	3	3.1%
25	3	3.1%
Other values (25)	37	38.1%
(Missing)	5	5.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	3	3.1%
6	1	1.0%
7	1	1.0%
8	1	1.0%
9	1	1.0%
10	1	1.0%
12	5	5.2%
13	11	11.3%
14	4	4.1%
15	3	3.1%

Value	Count	Frequency (%)
120	2	2.1%
94	1	1.0%
90	2	2.1%
60	3	3.1%
57	1	1.0%
51	1	1.0%
50	3	3.1%
45	15	15.5%
44	1	1.0%
41	1	1.0%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	26
Distinct (%)	100.0%
Missing	71
Missing (%)	73.2%
Memory size	904.0 B

{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/358/896916.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/358/896916.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724604.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724604.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724603.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724603.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/285/712958.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/285/712958.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/359/897951.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/359/897951.jpg'}	1
Other values (21)	21

Length

Max length	178
Median length	176
Mean length	176.1538462
Min length	176

Characters and Unicode

Total characters	4580
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	100.0%

Sample

1st row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737206.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737206.jpg'}
2nd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/715105.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/715105.jpg'}
3rd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710997.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710997.jpg'}
4th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710998.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710998.jpg'}
5th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710999.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710999.jpg'}

Common Values

Value	Count	Frequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/358/896916.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/358/896916.jpg'}	1	1.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724604.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724604.jpg'}	1	1.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724603.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724603.jpg'}	1	1.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/285/712958.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/285/712958.jpg'}	1	1.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/359/897951.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/359/897951.jpg'}	1	1.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710176.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710176.jpg'}	1	1.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/403/1009865.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/403/1009865.jpg'}	1	1.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/404/1012046.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/404/1012046.jpg'}	1	1.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794449.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794449.jpg'}	1	1.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794448.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794448.jpg'}	1	1.0%
Other values (16)	16	16.5%
(Missing)	71	73.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
medium	26	25.0%
original	26	25.0%
https://static.tvmaze.com/uploads/images/original_untouched/285/714313.jpg	1	1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/286/715076.jpg	1	1.0%
https://static.tvmaze.com/uploads/images/original_untouched/286/715076.jpg	1	1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/286/715059.jpg	1	1.0%
https://static.tvmaze.com/uploads/images/original_untouched/286/715059.jpg	1	1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/285/714985.jpg	1	1.0%
https://static.tvmaze.com/uploads/images/original_untouched/285/714985.jpg	1	1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719812.jpg	1	1.0%
Other values (44)	44	42.3%

Most occurring characters

Value	Count	Frequency (%)
/	364	7.9%
a	312	6.8%
t	286	6.2%
m	260	5.7%
i	260	5.7%
s	234	5.1%
e	208	4.5%
'	208	4.5%
o	182	4.0%
p	182	4.0%
Other values (28)	2084	45.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3068	67.0%
Other Punctuation	858	18.7%
Decimal Number	472	10.3%
Space Separator	78	1.7%
Connector Punctuation	52	1.1%
Close Punctuation	26	0.6%
Open Punctuation	26	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	312	10.2%
t	286	9.3%
m	260	8.5%
i	260	8.5%
s	234	7.6%
e	208	6.8%
o	182	5.9%
p	182	5.9%
g	156	5.1%
c	156	5.1%
Other values (9)	832	27.1%

Decimal Number

Value	Count	Frequency (%)
7	70	14.8%
9	56	11.9%
1	54	11.4%
8	52	11.0%
4	52	11.0%
2	50	10.6%
0	40	8.5%
6	36	7.6%
5	34	7.2%
3	28	5.9%

Other Punctuation

Value	Count	Frequency (%)
/	364	42.4%
'	208	24.2%
.	156	18.2%
:	104	12.1%
,	26	3.0%

Space Separator

Value	Count	Frequency (%)
	78	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	52	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	26	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	26	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3068	67.0%
Common	1512	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	364	24.1%
'	208	13.8%
.	156	10.3%
:	104	6.9%
	78	5.2%
7	70	4.6%
9	56	3.7%
1	54	3.6%
8	52	3.4%
_	52	3.4%
Other values (9)	318	21.0%

Latin

Value	Count	Frequency (%)
a	312	10.2%
t	286	9.3%
m	260	8.5%
i	260	8.5%
s	234	7.6%
e	208	6.8%
o	182	5.9%
p	182	5.9%
g	156	5.1%
c	156	5.1%
Other values (9)	832	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4580	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	364	7.9%
a	312	6.8%
t	286	6.2%
m	260	5.7%
i	260	5.7%
s	234	5.1%
e	208	4.5%
'	208	4.5%
o	182	4.0%
p	182	4.0%
Other values (28)	2084	45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	21
Distinct (%)	21.6%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

nan	77
<p><b>#ObtainedAConversationalSkill #WeSetUpATent♥ #ManySmiles</b></p>	1
<p>Amie and Caolan had different ideas for their big day. She wanted a small wedding abroad, but he persuaded her to have a large and extravagant celebration.</p>	1
<p>Cheyenne se fait passer pour le bras droit de l'Anglais auprès d'un passeur nigérian.</p>	1
<p>Cheyenne découvre qu'un policier ripou dont elle ignore l'identité est l'informateur de Yannick.</p>	1
Other values (16)	16

Length

Max length	1077
Median length	3
Mean length	45.46391753
Min length	3

Characters and Unicode

Total characters	4410
Distinct characters	79
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	20.6%

Sample

1st row	<p><b>#ObtainedAConversationalSkill #WeSetUpATent♥ #ManySmiles</b></p>
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	77	79.4%
<p><b>#ObtainedAConversationalSkill #WeSetUpATent♥ #ManySmiles</b></p>	1	1.0%
<p>Amie and Caolan had different ideas for their big day. She wanted a small wedding abroad, but he persuaded her to have a large and extravagant celebration.</p>	1	1.0%
<p>Cheyenne se fait passer pour le bras droit de l'Anglais auprès d'un passeur nigérian.</p>	1	1.0%
<p>Cheyenne découvre qu'un policier ripou dont elle ignore l'identité est l'informateur de Yannick.</p>	1	1.0%
<p>K2 is a mysterious and extremly destructive drug that 18 yr old Yazz not only abused but also trafficked, earning him 100k a week while also causing him to spiral out of control.</p>	1	1.0%
<p>Inside The Hill breaks down Trump's voter fraud conspiracy theories, Biden's cabinet picks, and Senate candidate Kelly Loeffler's campaign ad with guest Rep. Linda Sanchez (D-CA).</p>	1	1.0%
<p>As Claire's world begins to crumble, an uncertain Eric is pressed to reveal intimate details of his relationship.</p>	1	1.0%
<p>After the audition, 'Yuki Ebana' was confessed to 'Seiichi Izumi'. 'Shiori Kato' and 'Hitoko Murakami' witnessed it, and Hitoko, who had been thinking about Seiichi, screamed and ran away, and Shiori chased it.<br />On the other hand, for some reason, 'Ryo' will be drunk with Seiichi's band members 'Taki Hiroto' and 'Tsubaki Aoi', and will be re-drinked at Taki and Taki's house. Taki tells Ryo that he is thinking of leaving the band and becoming a doctor. Ryo presses the taiko stamp that Taki can be compatible, but Taki is not serious. Taki notices that something is wrong with Ryo's body, but Ryo tells others to keep silent.<br />In Seiichi's confession, Yuki and Hitoko were jerky. Meanwhile, the president 'Yuichi Yanagishita' called and told that the major debut of 'Chahhan' was decided. Three people who rejoice.<br />However, when I went to the office a few days later, I found that the debut song was not the original song, but a song made by a stranger ('77'). The three are not convinced, but Yuki remembers something stuck in the lyrics of 'No. 77' ...</p>	1	1.0%
<p>Kiki is flustered to learn that Takumi in fact heard her confess her feelings, and now he has something he really wants to tell her. Meanwhile at work, the new "mobile convenience store" project is launched. When Kiki sees Takumi and Riho together, however, she decides it's best to forget about him. But Makoto's own feelings for her haven't changed, and he decides it's time to take their relationship to the next level.</p>	1	1.0%
Other values (11)	11	11.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	77	10.3%
the	28	3.7%
and	27	3.6%
to	21	2.8%
a	14	1.9%
of	11	1.5%
but	10	1.3%
that	8	1.1%
is	8	1.1%
their	8	1.1%
Other values (405)	537	71.7%

Most occurring characters

Value	Count	Frequency (%)
	651	14.8%
e	378	8.6%
n	377	8.5%
a	329	7.5%
i	265	6.0%
t	257	5.8%
o	214	4.9%
s	183	4.1%
r	172	3.9%
h	166	3.8%
Other values (69)	1418	32.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3326	75.4%
Space Separator	654	14.8%
Other Punctuation	165	3.7%
Uppercase Letter	132	3.0%
Math Symbol	90	2.0%
Decimal Number	25	0.6%
Dash Punctuation	8	0.2%
Close Punctuation	3	0.1%
Currency Symbol	3	0.1%
Open Punctuation	3	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	378	11.4%
n	377	11.3%
a	329	9.9%
i	265	8.0%
t	257	7.7%
o	214	6.4%
s	183	5.5%
r	172	5.2%
h	166	5.0%
d	149	4.5%
Other values (18)	836	25.1%

Uppercase Letter

Value	Count	Frequency (%)
T	20	15.2%
S	13	9.8%
A	10	7.6%
C	9	6.8%
D	8	6.1%
H	8	6.1%
M	8	6.1%
R	7	5.3%
Y	7	5.3%
I	6	4.5%
Other values (13)	36	27.3%

Other Punctuation

Value	Count	Frequency (%)
,	48	29.1%
'	44	26.7%
.	39	23.6%
/	24	14.5%
#	3	1.8%
?	2	1.2%
"	2	1.2%
!	1	0.6%
;	1	0.6%
&	1	0.6%

Decimal Number

Value	Count	Frequency (%)
0	12	48.0%
7	4	16.0%
1	3	12.0%
6	2	8.0%
3	1	4.0%
5	1	4.0%
8	1	4.0%
2	1	4.0%

Space Separator

Value	Count	Frequency (%)
	651	99.5%
	3	0.5%

Math Symbol

Value	Count	Frequency (%)
>	45	50.0%
<	45	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	75.0%
—	2	25.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Currency Symbol

Value	Count	Frequency (%)
£	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Other Symbol

Value	Count	Frequency (%)
♥	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3458	78.4%
Common	952	21.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	378	10.9%
n	377	10.9%
a	329	9.5%
i	265	7.7%
t	257	7.4%
o	214	6.2%
s	183	5.3%
r	172	5.0%
h	166	4.8%
d	149	4.3%
Other values (41)	968	28.0%

Common

Value	Count	Frequency (%)
	651	68.4%
,	48	5.0%
>	45	4.7%
<	45	4.7%
'	44	4.6%
.	39	4.1%
/	24	2.5%
0	12	1.3%
-	6	0.6%
7	4	0.4%
Other values (18)	34	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4397	99.7%
None	10	0.2%
Punctuation	2	< 0.1%
Misc Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	651	14.8%
e	378	8.6%
n	377	8.6%
a	329	7.5%
i	265	6.0%
t	257	5.8%
o	214	4.9%
s	183	4.2%
r	172	3.9%
h	166	3.8%
Other values (63)	1405	32.0%

None

Value	Count	Frequency (%)
£	3	30.0%
é	3	30.0%
	3	30.0%
è	1	10.0%

Punctuation

Value	Count	Frequency (%)
—	2	100.0%

Misc Symbols

Value	Count	Frequency (%)
♥	1	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	67
Distinct (%)	69.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47701.64948

Minimum	2504
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	904.0 B

Quantile statistics

Minimum	2504
5-th percentile	17156.4
Q1	45812
median	52038
Q3	53282
95-th percentile	57589.8
Maximum	61755
Range	59251
Interquartile range (IQR)	7470

Descriptive statistics

Standard deviation	11516.54299
Coefficient of variation (CV)	0.2414286113
Kurtosis	5.018726898
Mean	47701.64948
Median Absolute Deviation (MAD)	1377
Skewness	-2.268958905
Sum	4627060
Variance	132630762.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
53282	12	12.4%
45389	6	6.2%
55364	4	4.1%
51893	3	3.1%
52106	2	2.1%
52164	2	2.1%
52159	2	2.1%
52108	2	2.1%
52107	2	2.1%
52104	2	2.1%
Other values (57)	60	61.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2504	1	1.0%
6441	1	1.0%
13381	1	1.0%
13392	1	1.0%
15250	1	1.0%
17633	1	1.0%
21491	1	1.0%
26268	1	1.0%
30606	1	1.0%
32087	1	1.0%

Value	Count	Frequency (%)
61755	1	1.0%
61674	1	1.0%
61530	1	1.0%
60785	1	1.0%
58593	1	1.0%
57339	1	1.0%
55364	4	4.1%
55016	1	1.0%
54112	1	1.0%
54033	1	1.0%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	67
Distinct (%)	69.1%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

https://www.tvmaze.com/shows/53282/33-rebenka	12
https://www.tvmaze.com/shows/45389/obsolete	6
https://www.tvmaze.com/shows/55364/countdown-to-i-do	4
https://www.tvmaze.com/shows/51893/exit-nordpolen	3
https://www.tvmaze.com/shows/52106/insect-detective	2
Other values (62)	70

Length

Max length	71
Median length	58
Mean length	49.51546392
Min length	40

Characters and Unicode

Total characters	4803
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	55.7%

Sample

1st row	https://www.tvmaze.com/shows/41648/sim-for-you
2nd row	https://www.tvmaze.com/shows/52198/kotiki
3rd row	https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym
4th row	https://www.tvmaze.com/shows/51336/core-sense
5th row	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/53282/33-rebenka	12	12.4%
https://www.tvmaze.com/shows/45389/obsolete	6	6.2%
https://www.tvmaze.com/shows/55364/countdown-to-i-do	4	4.1%
https://www.tvmaze.com/shows/51893/exit-nordpolen	3	3.1%
https://www.tvmaze.com/shows/52106/insect-detective	2	2.1%
https://www.tvmaze.com/shows/52164/the-holiday-movies-that-made-us	2	2.1%
https://www.tvmaze.com/shows/52159/to-love	2	2.1%
https://www.tvmaze.com/shows/52108/psych-hunter	2	2.1%
https://www.tvmaze.com/shows/52107/new-face	2	2.1%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.1%
Other values (57)	60	61.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/53282/33-rebenka	12	12.4%
https://www.tvmaze.com/shows/45389/obsolete	6	6.2%
https://www.tvmaze.com/shows/55364/countdown-to-i-do	4	4.1%
https://www.tvmaze.com/shows/51893/exit-nordpolen	3	3.1%
https://www.tvmaze.com/shows/52107/new-face	2	2.1%
https://www.tvmaze.com/shows/51870/something-just-like-this	2	2.1%
https://www.tvmaze.com/shows/52038/please-wait-brother	2	2.1%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.1%
https://www.tvmaze.com/shows/50106/cheyenne-et-lola	2	2.1%
https://www.tvmaze.com/shows/52108/psych-hunter	2	2.1%
Other values (57)	60	61.9%

Most occurring characters

Value	Count	Frequency (%)
/	485	10.1%
w	411	8.6%
t	391	8.1%
s	368	7.7%
o	302	6.3%
e	262	5.5%
h	238	5.0%
m	226	4.7%
a	202	4.2%
.	194	4.0%
Other values (29)	1724	35.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3364	70.0%
Other Punctuation	776	16.2%
Decimal Number	509	10.6%
Dash Punctuation	154	3.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	411	12.2%
t	391	11.6%
s	368	10.9%
o	302	9.0%
e	262	7.8%
h	238	7.1%
m	226	6.7%
a	202	6.0%
c	125	3.7%
v	118	3.5%
Other values (15)	721	21.4%

Decimal Number

Value	Count	Frequency (%)
5	88	17.3%
3	87	17.1%
2	66	13.0%
1	62	12.2%
4	45	8.8%
8	44	8.6%
0	37	7.3%
6	35	6.9%
9	27	5.3%
7	18	3.5%

Other Punctuation

Value	Count	Frequency (%)
/	485	62.5%
.	194	25.0%
:	97	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	154	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3364	70.0%
Common	1439	30.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	411	12.2%
t	391	11.6%
s	368	10.9%
o	302	9.0%
e	262	7.8%
h	238	7.1%
m	226	6.7%
a	202	6.0%
c	125	3.7%
v	118	3.5%
Other values (15)	721	21.4%

Common

Value	Count	Frequency (%)
/	485	33.7%
.	194	13.5%
-	154	10.7%
:	97	6.7%
5	88	6.1%
3	87	6.0%
2	66	4.6%
1	62	4.3%
4	45	3.1%
8	44	3.1%
Other values (4)	117	8.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4803	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	485	10.1%
w	411	8.6%
t	391	8.1%
s	368	7.7%
o	302	6.3%
e	262	5.5%
h	238	5.0%
m	226	4.7%
a	202	4.2%
.	194	4.0%
Other values (29)	1724	35.9%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	67
Distinct (%)	69.1%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

33 Ребёнка	12
Obsolete	6
Countdown to I Do	4
Exit Nordpolen	3
Insect Detective	2
Other values (62)	70

Length

Max length	36
Median length	26
Mean length	14.70103093
Min length	5

Characters and Unicode

Total characters	1426
Distinct characters	93
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	55.7%

Sample

1st row	Sim for You
2nd row	Котики
3rd row	LAB с Антоном Беляевым
4th row	Core Sense
5th row	Wu Shen Zhu Zai

Common Values

Value	Count	Frequency (%)
33 Ребёнка	12	12.4%
Obsolete	6	6.2%
Countdown to I Do	4	4.1%
Exit Nordpolen	3	3.1%
Insect Detective	2	2.1%
The Holiday Movies That Made Us	2	2.1%
To Love	2	2.1%
Psych Hunter	2	2.1%
New Face	2	2.1%
Twisted Fate of Love	2	2.1%
Other values (57)	60	61.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
33	12	4.7%
ребёнка	12	4.7%
obsolete	6	2.4%
to	6	2.4%
the	5	2.0%
i	5	2.0%
of	4	1.6%
love	4	1.6%
countdown	4	1.6%
a	4	1.6%
Other values (153)	191	75.5%

Most occurring characters

Value	Count	Frequency (%)
	156	10.9%
e	126	8.8%
o	90	6.3%
a	75	5.3%
t	71	5.0%
n	61	4.3%
i	60	4.2%
s	57	4.0%
r	46	3.2%
l	45	3.2%
Other values (83)	639	44.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1003	70.3%
Uppercase Letter	228	16.0%
Space Separator	156	10.9%
Decimal Number	26	1.8%
Other Punctuation	12	0.8%
Dash Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	126	12.6%
o	90	9.0%
a	75	7.5%
t	71	7.1%
n	61	6.1%
i	60	6.0%
s	57	5.7%
r	46	4.6%
l	45	4.5%
h	35	3.5%
Other values (42)	337	33.6%

Uppercase Letter

Value	Count	Frequency (%)
T	24	10.5%
S	15	6.6%
L	14	6.1%
A	13	5.7%
Р	13	5.7%
M	13	5.7%
F	11	4.8%
C	11	4.8%
N	11	4.8%
I	11	4.8%
Other values (21)	92	40.4%

Other Punctuation

Value	Count	Frequency (%)
.	5	41.7%
,	3	25.0%
'	2	16.7%
:	1	8.3%
&	1	8.3%

Decimal Number

Value	Count	Frequency (%)
3	24	92.3%
0	1	3.8%
1	1	3.8%

Space Separator

Value	Count	Frequency (%)
	156	100.0%

Dash Punctuation

Value	Count	Frequency (%)
–	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1083	75.9%
Common	195	13.7%
Cyrillic	148	10.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	126	11.6%
o	90	8.3%
a	75	6.9%
t	71	6.6%
n	61	5.6%
i	60	5.5%
s	57	5.3%
r	46	4.2%
l	45	4.2%
h	35	3.2%
Other values (43)	417	38.5%

Cyrillic

Value	Count	Frequency (%)
е	19	12.8%
н	15	10.1%
Р	13	8.8%
а	13	8.8%
к	13	8.8%
б	12	8.1%
ё	12	8.1%
о	7	4.7%
в	5	3.4%
т	5	3.4%
Other values (20)	34	23.0%

Common

Value	Count	Frequency (%)
	156	80.0%
3	24	12.3%
.	5	2.6%
,	3	1.5%
'	2	1.0%
0	1	0.5%
1	1	0.5%
–	1	0.5%
:	1	0.5%
&	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1271	89.1%
Cyrillic	148	10.4%
None	6	0.4%
Punctuation	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	156	12.3%
e	126	9.9%
o	90	7.1%
a	75	5.9%
t	71	5.6%
n	61	4.8%
i	60	4.7%
s	57	4.5%
r	46	3.6%
l	45	3.5%
Other values (48)	484	38.1%

Cyrillic

Value	Count	Frequency (%)
е	19	12.8%
н	15	10.1%
Р	13	8.8%
а	13	8.8%
к	13	8.8%
б	12	8.1%
ё	12	8.1%
о	7	4.7%
в	5	3.4%
т	5	3.4%
Other values (20)	34	23.0%

None

Value	Count	Frequency (%)
ø	3	50.0%
ı	1	16.7%
á	1	16.7%
ş	1	16.7%

Punctuation

Value	Count	Frequency (%)
–	1	100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

Scripted	48
Documentary	12
Animation	11
Reality	9
Talk Show	7
Other values (3)	10

Length

Max length	11
Median length	9
Mean length	8.257731959
Min length	4

Characters and Unicode

Total characters	801
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Reality
2nd row	Scripted
3rd row	Documentary
4th row	Animation
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	48	49.5%
Documentary	12	12.4%
Animation	11	11.3%
Reality	9	9.3%
Talk Show	7	7.2%
Variety	4	4.1%
Sports	4	4.1%
News	2	2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	48	46.2%
documentary	12	11.5%
animation	11	10.6%
reality	9	8.7%
talk	7	6.7%
show	7	6.7%
variety	4	3.8%
sports	4	3.8%
news	2	1.9%

Most occurring characters

Value	Count	Frequency (%)
t	88	11.0%
i	83	10.4%
e	75	9.4%
r	68	8.5%
c	60	7.5%
S	59	7.4%
p	52	6.5%
d	48	6.0%
a	43	5.4%
o	34	4.2%
Other values (16)	191	23.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	690	86.1%
Uppercase Letter	104	13.0%
Space Separator	7	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	88	12.8%
i	83	12.0%
e	75	10.9%
r	68	9.9%
c	60	8.7%
p	52	7.5%
d	48	7.0%
a	43	6.2%
o	34	4.9%
n	34	4.9%
Other values (8)	105	15.2%

Uppercase Letter

Value	Count	Frequency (%)
S	59	56.7%
D	12	11.5%
A	11	10.6%
R	9	8.7%
T	7	6.7%
V	4	3.8%
N	2	1.9%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	794	99.1%
Common	7	0.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	88	11.1%
i	83	10.5%
e	75	9.4%
r	68	8.6%
c	60	7.6%
S	59	7.4%
p	52	6.5%
d	48	6.0%
a	43	5.4%
o	34	4.3%
Other values (15)	184	23.2%

Common

Value	Count	Frequency (%)
	7	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	801	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	88	11.0%
i	83	10.4%
e	75	9.4%
r	68	8.5%
c	60	7.5%
S	59	7.4%
p	52	6.5%
d	48	6.0%
a	43	5.4%
o	34	4.2%
Other values (16)	191	23.8%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	14.4%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

English	28
Russian	21
Chinese	18
Japanese	9
Norwegian	6
Other values (9)	15

Length

Max length	9
Median length	7
Mean length	7.12371134
Min length	5

Characters and Unicode

Total characters	691
Distinct characters	30
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	4.1%

Sample

1st row	Korean
2nd row	Russian
3rd row	Russian
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
English	28	28.9%
Russian	21	21.6%
Chinese	18	18.6%
Japanese	9	9.3%
Norwegian	6	6.2%
Arabic	3	3.1%
Korean	2	2.1%
Turkish	2	2.1%
Spanish	2	2.1%
French	2	2.1%
Other values (4)	4	4.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	28	28.9%
russian	21	21.6%
chinese	18	18.6%
japanese	9	9.3%
norwegian	6	6.2%
arabic	3	3.1%
korean	2	2.1%
turkish	2	2.1%
spanish	2	2.1%
french	2	2.1%
Other values (4)	4	4.1%

Most occurring characters

Value	Count	Frequency (%)
s	103	14.9%
n	89	12.9%
i	82	11.9%
e	66	9.6%
a	55	8.0%
h	54	7.8%
g	36	5.2%
l	29	4.2%
E	28	4.1%
u	24	3.5%
Other values (20)	125	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	594	86.0%
Uppercase Letter	97	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	103	17.3%
n	89	15.0%
i	82	13.8%
e	66	11.1%
a	55	9.3%
h	54	9.1%
g	36	6.1%
l	29	4.9%
u	24	4.0%
r	16	2.7%
Other values (8)	40	6.7%

Uppercase Letter

Value	Count	Frequency (%)
E	28	28.9%
R	21	21.6%
C	18	18.6%
J	9	9.3%
N	6	6.2%
A	3	3.1%
T	3	3.1%
S	3	3.1%
K	2	2.1%
F	2	2.1%
Other values (2)	2	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	691	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	103	14.9%
n	89	12.9%
i	82	11.9%
e	66	9.6%
a	55	8.0%
h	54	7.8%
g	36	5.2%
l	29	4.2%
E	28	4.1%
u	24	3.5%
Other values (20)	125	18.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	691	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	103	14.9%
n	89	12.9%
i	82	11.9%
e	66	9.6%
a	55	8.0%
h	54	7.8%
g	36	5.2%
l	29	4.2%
E	28	4.1%
u	24	3.5%
Other values (20)	125	18.1%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	32
Distinct (%)	33.0%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

[]	36
['Comedy']	10
['Drama', 'Science-Fiction']	6
['Drama', 'Thriller', 'Mystery']	4
['Drama', 'Romance']	3
Other values (27)	38

Length

Max length	43
Median length	36
Mean length	14.77319588
Min length	2

Characters and Unicode

Total characters	1433
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	19.6%

Sample

1st row	[]
2nd row	['Comedy']
3rd row	['Music']
4th row	['Action', 'Anime', 'Science-Fiction']
5th row	['Action', 'Adventure', 'Anime', 'Fantasy']

Common Values

Value	Count	Frequency (%)
[]	36	37.1%
['Comedy']	10	10.3%
['Drama', 'Science-Fiction']	6	6.2%
['Drama', 'Thriller', 'Mystery']	4	4.1%
['Drama', 'Romance']	3	3.1%
['Romance']	3	3.1%
['Drama', 'Romance', 'History']	3	3.1%
['Adventure', 'Nature']	3	3.1%
['Drama', 'Crime']	2	2.1%
['Action', 'Crime', 'Thriller']	2	2.1%
Other values (22)	25	25.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	36	22.1%
drama	28	17.2%
comedy	17	10.4%
romance	11	6.7%
crime	10	6.1%
science-fiction	8	4.9%
thriller	8	4.9%
mystery	7	4.3%
action	5	3.1%
adventure	5	3.1%
Other values (12)	28	17.2%

Most occurring characters

Value	Count	Frequency (%)
'	254	17.7%
[	97	6.8%
]	97	6.8%
e	93	6.5%
r	81	5.7%
a	80	5.6%
m	70	4.9%
	66	4.6%
,	66	4.6%
i	63	4.4%
Other values (25)	466	32.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	710	49.5%
Other Punctuation	320	22.3%
Uppercase Letter	135	9.4%
Open Punctuation	97	6.8%
Close Punctuation	97	6.8%
Space Separator	66	4.6%
Dash Punctuation	8	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	93	13.1%
r	81	11.4%
a	80	11.3%
m	70	9.9%
i	63	8.9%
o	50	7.0%
n	47	6.6%
c	45	6.3%
t	37	5.2%
y	37	5.2%
Other values (8)	107	15.1%

Uppercase Letter

Value	Count	Frequency (%)
C	31	23.0%
D	28	20.7%
F	13	9.6%
A	13	9.6%
M	12	8.9%
S	11	8.1%
R	11	8.1%
T	8	5.9%
N	4	3.0%
H	3	2.2%

Other Punctuation

Value	Count	Frequency (%)
'	254	79.4%
,	66	20.6%

Open Punctuation

Value	Count	Frequency (%)
[	97	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	97	100.0%

Space Separator

Value	Count	Frequency (%)
	66	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	845	59.0%
Common	588	41.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	93	11.0%
r	81	9.6%
a	80	9.5%
m	70	8.3%
i	63	7.5%
o	50	5.9%
n	47	5.6%
c	45	5.3%
t	37	4.4%
y	37	4.4%
Other values (19)	242	28.6%

Common

Value	Count	Frequency (%)
'	254	43.2%
[	97	16.5%
]	97	16.5%
	66	11.2%
,	66	11.2%
-	8	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1433	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	254	17.7%
[	97	6.8%
]	97	6.8%
e	93	6.5%
r	81	5.7%
a	80	5.6%
m	70	4.9%
	66	4.6%
,	66	4.6%
i	63	4.4%
Other values (25)	466	32.5%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

Ended	43
Running	40
To Be Determined	14

Length

Max length	16
Median length	7
Mean length	7.412371134
Min length	5

Characters and Unicode

Total characters	719
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Running
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Ended	43	44.3%
Running	40	41.2%
To Be Determined	14	14.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ended	43	34.4%
running	40	32.0%
to	14	11.2%
be	14	11.2%
determined	14	11.2%

Most occurring characters

Value	Count	Frequency (%)
n	177	24.6%
d	100	13.9%
e	99	13.8%
i	54	7.5%
E	43	6.0%
R	40	5.6%
u	40	5.6%
g	40	5.6%
	28	3.9%
T	14	1.9%
Other values (6)	84	11.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	566	78.7%
Uppercase Letter	125	17.4%
Space Separator	28	3.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	177	31.3%
d	100	17.7%
e	99	17.5%
i	54	9.5%
u	40	7.1%
g	40	7.1%
o	14	2.5%
t	14	2.5%
r	14	2.5%
m	14	2.5%

Uppercase Letter

Value	Count	Frequency (%)
E	43	34.4%
R	40	32.0%
T	14	11.2%
B	14	11.2%
D	14	11.2%

Space Separator

Value	Count	Frequency (%)
	28	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	691	96.1%
Common	28	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	177	25.6%
d	100	14.5%
e	99	14.3%
i	54	7.8%
E	43	6.2%
R	40	5.8%
u	40	5.8%
g	40	5.8%
T	14	2.0%
o	14	2.0%
Other values (5)	70	10.1%

Common

Value	Count	Frequency (%)
	28	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	719	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	177	24.6%
d	100	13.9%
e	99	13.8%
i	54	7.5%
E	43	6.0%
R	40	5.6%
u	40	5.6%
g	40	5.6%
	28	3.9%
T	14	1.9%
Other values (6)	84	11.7%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	24
Distinct (%)	29.6%
Missing	16
Missing (%)	16.5%
Infinite	0
Infinite (%)	0.0%
Mean	31.91358025

Minimum	5
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	904.0 B

Quantile statistics

Minimum	5
5-th percentile	10
Q1	13
median	25
Q3	45
95-th percentile	60
Maximum	120
Range	115
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	22.79210254
Coefficient of variation (CV)	0.7141819365
Kurtosis	4.434290377
Mean	31.91358025
Median Absolute Deviation (MAD)	12
Skewness	1.786042243
Sum	2585
Variance	519.4799383
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
13	18	18.6%
45	14	14.4%
40	6	6.2%
23	5	5.2%
30	4	4.1%
25	4	4.1%
15	3	3.1%
50	3	3.1%
60	3	3.1%
5	2	2.1%
Other values (14)	19	19.6%
(Missing)	16	16.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	2.1%
6	1	1.0%
8	1	1.0%
10	1	1.0%
12	1	1.0%
13	18	18.6%
14	1	1.0%
15	3	3.1%
16	1	1.0%
20	2	2.1%

Value	Count	Frequency (%)
120	2	2.1%
90	2	2.1%
60	3	3.1%
57	1	1.0%
50	3	3.1%
45	14	14.4%
40	6	6.2%
37	2	2.1%
30	4	4.1%
27	2	2.1%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	36.2%
Missing	3
Missing (%)	3.1%
Infinite	0
Infinite (%)	0.0%
Mean	31.07446809

Minimum	5
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	904.0 B

Quantile statistics

Minimum	5
5-th percentile	8.65
Q1	13
median	25
Q3	45
95-th percentile	69.45
Maximum	120
Range	115
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	22.72426554
Coefficient of variation (CV)	0.7312841358
Kurtosis	4.133597843
Mean	31.07446809
Median Absolute Deviation (MAD)	12
Skewness	1.762450708
Sum	2921
Variance	516.3922443
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
13	19	19.6%
45	15	15.5%
25	6	6.2%
23	4	4.1%
14	4	4.1%
50	3	3.1%
60	3	3.1%
26	3	3.1%
36	3	3.1%
16	2	2.1%
Other values (24)	32	33.0%
(Missing)	3	3.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	2.1%
6	2	2.1%
8	1	1.0%
9	1	1.0%
10	1	1.0%
11	1	1.0%
12	2	2.1%
13	19	19.6%
14	4	4.1%
15	1	1.0%

Value	Count	Frequency (%)
120	2	2.1%
90	2	2.1%
87	1	1.0%
60	3	3.1%
59	1	1.0%
50	3	3.1%
47	1	1.0%
45	15	15.5%
42	1	1.0%
40	1	1.0%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	50
Distinct (%)	51.5%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

2020-12-01	24
2019-12-03	6
2020-11-24	6
2020-10-20	5
2020-11-23	4
Other values (45)	52

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	970
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	40.2%

Sample

1st row	2019-03-25
2nd row	2020-11-30
3rd row	2019-12-17
4th row	2020-10-13
5th row	2020-03-08

Common Values

Value	Count	Frequency (%)
2020-12-01	24	24.7%
2019-12-03	6	6.2%
2020-11-24	6	6.2%
2020-10-20	5	5.2%
2020-11-23	4	4.1%
2020-11-17	3	3.1%
2020-11-19	2	2.1%
2020-10-13	2	2.1%
2020-11-30	2	2.1%
2020-11-08	2	2.1%
Other values (40)	41	42.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-01	24	24.7%
2020-11-24	6	6.2%
2019-12-03	6	6.2%
2020-10-20	5	5.2%
2020-11-23	4	4.1%
2020-11-17	3	3.1%
2020-11-30	2	2.1%
2020-11-03	2	2.1%
2020-11-08	2	2.1%
2020-10-13	2	2.1%
Other values (40)	41	42.3%

Most occurring characters

Value	Count	Frequency (%)
0	251	25.9%
2	226	23.3%
-	194	20.0%
1	183	18.9%
3	30	3.1%
9	29	3.0%
8	18	1.9%
4	14	1.4%
7	12	1.2%
5	10	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	776	80.0%
Dash Punctuation	194	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	251	32.3%
2	226	29.1%
1	183	23.6%
3	30	3.9%
9	29	3.7%
8	18	2.3%
4	14	1.8%
7	12	1.5%
5	10	1.3%
6	3	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	194	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	970	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	251	25.9%
2	226	23.3%
-	194	20.0%
1	183	18.9%
3	30	3.1%
9	29	3.0%
8	18	1.9%
4	14	1.4%
7	12	1.2%
5	10	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	970	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	251	25.9%
2	226	23.3%
-	194	20.0%
1	183	18.9%
3	30	3.1%
9	29	3.0%
8	18	1.9%
4	14	1.4%
7	12	1.2%
5	10	1.0%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	18.6%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

nan	54
2020-12-01	18
2020-12-22	3
2020-12-03	2
2020-12-23	2
Other values (13)	18

Length

Max length	10
Median length	3
Mean length	6.103092784
Min length	3

Characters and Unicode

Total characters	592
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	8.2%

Sample

1st row	nan
2nd row	2020-12-11
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	54	55.7%
2020-12-01	18	18.6%
2020-12-22	3	3.1%
2020-12-03	2	2.1%
2020-12-23	2	2.1%
2020-12-16	2	2.1%
2020-12-02	2	2.1%
2020-12-30	2	2.1%
2020-12-15	2	2.1%
2020-12-08	2	2.1%
Other values (8)	8	8.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	54	55.7%
2020-12-01	18	18.6%
2020-12-22	3	3.1%
2020-12-02	2	2.1%
2020-12-15	2	2.1%
2020-12-30	2	2.1%
2020-12-08	2	2.1%
2020-12-16	2	2.1%
2020-12-23	2	2.1%
2020-12-03	2	2.1%
Other values (8)	8	8.2%

Most occurring characters

Value	Count	Frequency (%)
2	140	23.6%
0	113	19.1%
n	108	18.2%
-	86	14.5%
1	74	12.5%
a	54	9.1%
3	6	1.0%
5	3	0.5%
8	3	0.5%
6	2	0.3%
Other values (2)	3	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	344	58.1%
Lowercase Letter	162	27.4%
Dash Punctuation	86	14.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	140	40.7%
0	113	32.8%
1	74	21.5%
3	6	1.7%
5	3	0.9%
8	3	0.9%
6	2	0.6%
4	2	0.6%
9	1	0.3%

Lowercase Letter

Value	Count	Frequency (%)
n	108	66.7%
a	54	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	86	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	430	72.6%
Latin	162	27.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	140	32.6%
0	113	26.3%
-	86	20.0%
1	74	17.2%
3	6	1.4%
5	3	0.7%
8	3	0.7%
6	2	0.5%
4	2	0.5%
9	1	0.2%

Latin

Value	Count	Frequency (%)
n	108	66.7%
a	54	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	592	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	140	23.6%
0	113	19.1%
n	108	18.2%
-	86	14.5%
1	74	12.5%
a	54	9.1%
3	6	1.0%
5	3	0.5%
8	3	0.5%
6	2	0.3%
Other values (2)	3	0.5%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	63
Distinct (%)	64.9%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

https://www.youtube.com/channel/UCVONgoOMPz54teymV2Jqwnw/videos	12
nan	7
https://project-obsolete.com/en/	6
https://www.discoveryplus.co.uk/show/countdown-to-i-do	4
https://tv.nrk.no/serie/exit-nordpolen	3
Other values (58)	65

Length

Max length	97
Median length	72
Mean length	48.27835052
Min length	3

Characters and Unicode

Total characters	4683
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	52.6%

Sample

1st row	https://www.vlive.tv/video/121637
2nd row	http://epic-media.ru/project/kotiki
3rd row	https://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c326
4th row	https://www.bilibili.com/bangumi/media/md28223064
5th row	https://v.qq.com/detail/m/7q544xyrava3vxf.html

Common Values

Value	Count	Frequency (%)
https://www.youtube.com/channel/UCVONgoOMPz54teymV2Jqwnw/videos	12	12.4%
nan	7	7.2%
https://project-obsolete.com/en/	6	6.2%
https://www.discoveryplus.co.uk/show/countdown-to-i-do	4	4.1%
https://tv.nrk.no/serie/exit-nordpolen	3	3.1%
https://v.qq.com/detail/m/mzc00200tu76tos.html	2	2.1%
https://go.ocs.fr/details/serie/PSCHEYENNEEW0168259	2	2.1%
https://www.netflix.com/title/81337235	2	2.1%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	2	2.1%
https://v.youku.com/v_show/id_XNDg2OTQ0ODAwOA==.html?s=dfbc7998206c499cac28	2	2.1%
Other values (53)	55	56.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.youtube.com/channel/ucvongoompz54teymv2jqwnw/videos	12	12.4%
nan	7	7.2%
https://project-obsolete.com/en	6	6.2%
https://www.discoveryplus.co.uk/show/countdown-to-i-do	4	4.1%
https://tv.nrk.no/serie/exit-nordpolen	3	3.1%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	2	2.1%
https://www.iqiyi.com/a_19rrhskr95.html	2	2.1%
https://v.youku.com/v_show/id_xndg2otq0odawoa==.html?s=dfbc7998206c499cac28	2	2.1%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=1	2	2.1%
https://www.netflix.com/title/81337235	2	2.1%
Other values (53)	55	56.7%

Most occurring characters

Value	Count	Frequency (%)
/	382	8.2%
t	364	7.8%
o	259	5.5%
s	229	4.9%
e	229	4.9%
w	214	4.6%
.	178	3.8%
h	151	3.2%
c	150	3.2%
i	142	3.0%
Other values (64)	2385	50.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3086	65.9%
Other Punctuation	730	15.6%
Uppercase Letter	396	8.5%
Decimal Number	360	7.7%
Dash Punctuation	65	1.4%
Math Symbol	27	0.6%
Connector Punctuation	19	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	364	11.8%
o	259	8.4%
s	229	7.4%
e	229	7.4%
w	214	6.9%
h	151	4.9%
c	150	4.9%
i	142	4.6%
p	141	4.6%
n	133	4.3%
Other values (16)	1074	34.8%

Uppercase Letter

Value	Count	Frequency (%)
O	38	9.6%
E	32	8.1%
V	29	7.3%
N	28	7.1%
P	27	6.8%
C	26	6.6%
A	22	5.6%
U	20	5.1%
J	20	5.1%
M	15	3.8%
Other values (16)	139	35.1%

Decimal Number

Value	Count	Frequency (%)
2	51	14.2%
9	42	11.7%
4	41	11.4%
5	39	10.8%
0	38	10.6%
8	34	9.4%
1	31	8.6%
7	30	8.3%
6	28	7.8%
3	26	7.2%

Other Punctuation

Value	Count	Frequency (%)
/	382	52.3%
.	178	24.4%
:	90	12.3%
%	57	7.8%
?	16	2.2%
&	5	0.7%
#	1	0.1%
!	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	25	92.6%
+	2	7.4%

Dash Punctuation

Value	Count	Frequency (%)
-	65	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3482	74.4%
Common	1201	25.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	364	10.5%
o	259	7.4%
s	229	6.6%
e	229	6.6%
w	214	6.1%
h	151	4.3%
c	150	4.3%
i	142	4.1%
p	141	4.0%
n	133	3.8%
Other values (42)	1470	42.2%

Common

Value	Count	Frequency (%)
/	382	31.8%
.	178	14.8%
:	90	7.5%
-	65	5.4%
%	57	4.7%
2	51	4.2%
9	42	3.5%
4	41	3.4%
5	39	3.2%
0	38	3.2%
Other values (12)	218	18.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4683	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	382	8.2%
t	364	7.8%
o	259	5.5%
s	229	4.9%
e	229	4.9%
w	214	4.6%
.	178	3.8%
h	151	3.2%
c	150	3.2%
i	142	3.0%
Other values (64)	2385	50.9%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	42
Distinct (%)	43.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.81443299

Minimum	0
Maximum	91
Zeros	1
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	904.0 B

Quantile statistics

Minimum	0
5-th percentile	6
Q1	8
median	22
Q3	37
95-th percentile	77
Maximum	91
Range	91
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	22.65195443
Coefficient of variation (CV)	0.814395693
Kurtosis	0.3759349427
Mean	27.81443299
Median Absolute Deviation (MAD)	14
Skewness	1.10231742
Sum	2698
Variance	513.1110395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
8	15	15.5%
6	7	7.2%
15	6	6.2%
34	6	6.2%
13	5	5.2%
18	4	4.1%
22	3	3.1%
55	3	3.1%
25	3	3.1%
32	3	3.1%
Other values (32)	42	43.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	1.0%
2	1	1.0%
3	2	2.1%
6	7	7.2%
8	15	15.5%
9	1	1.0%
10	1	1.0%
11	1	1.0%
13	5	5.2%
14	3	3.1%

Value	Count	Frequency (%)
91	1	1.0%
89	1	1.0%
81	1	1.0%
79	1	1.0%
77	2	2.1%
76	1	1.0%
71	1	1.0%
66	1	1.0%
65	1	1.0%
64	1	1.0%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

nan	96
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}	1

Length

Max length	57
Median length	3
Mean length	3.556701031
Min length	3

Characters and Unicode

Total characters	345
Distinct characters	25
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	96	99.0%
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}	1	1.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	96	94.1%
name	1	1.0%
japan	1	1.0%
code	1	1.0%
jp	1	1.0%
timezone	1	1.0%
asia/tokyo	1	1.0%

Most occurring characters

Value	Count	Frequency (%)
n	195	56.5%
a	100	29.0%
'	12	3.5%
	5	1.4%
e	4	1.2%
o	4	1.2%
:	3	0.9%
J	2	0.6%
,	2	0.6%
m	2	0.6%
Other values (15)	16	4.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	315	91.3%
Other Punctuation	18	5.2%
Space Separator	5	1.4%
Uppercase Letter	5	1.4%
Open Punctuation	1	0.3%
Close Punctuation	1	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	195	61.9%
a	100	31.7%
e	4	1.3%
o	4	1.3%
m	2	0.6%
i	2	0.6%
y	1	0.3%
k	1	0.3%
s	1	0.3%
t	1	0.3%
Other values (4)	4	1.3%

Other Punctuation

Value	Count	Frequency (%)
'	12	66.7%
:	3	16.7%
,	2	11.1%
/	1	5.6%

Uppercase Letter

Value	Count	Frequency (%)
J	2	40.0%
A	1	20.0%
T	1	20.0%
P	1	20.0%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	320	92.8%
Common	25	7.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	195	60.9%
a	100	31.2%
e	4	1.2%
o	4	1.2%
J	2	0.6%
m	2	0.6%
i	2	0.6%
A	1	0.3%
y	1	0.3%
k	1	0.3%
Other values (8)	8	2.5%

Common

Value	Count	Frequency (%)
'	12	48.0%
	5	20.0%
:	3	12.0%
,	2	8.0%
/	1	4.0%
{	1	4.0%
}	1	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	345	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	195	56.5%
a	100	29.0%
'	12	3.5%
	5	1.4%
e	4	1.2%
o	4	1.2%
:	3	0.9%
J	2	0.6%
,	2	0.6%
m	2	0.6%
Other values (15)	16	4.6%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	59
Distinct (%)	60.8%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

<p>A 12-episode online series about the funny and touching adventures of a student blogger who promotes the "child free" movement, but is forced to go to work as a volunteer nanny.</p>	12
nan	11
<p>In 2014, aliens revealed themselves to request trade with humanity. In exchange for limestone, they would provide a consciousness-controlled general-use robot known as an "EXOFRAME". Cheaper than an aircraft, tank, or firearm, and easy enough for anyone to operate, the "EXOFRAME" spreads change throughout the world in the blink of an eye...</p>	6
<p>Married couples think back to their dream weddings a year later and discuss all the choices they made. Revisiting the stress, cost and chaos, will these couples think it was all worth it for just one day?</p>	4
<p>When Børge Ousland goes on a trip, it's serious. Last autumn, he crossed the Arctic Ocean on skis. Everything did not go exactly according to plan. What happened along the way? <b>Exit Nordpolen</b> takes you on an insane expedition.</p>	3
Other values (54)	61

Length

Max length	1084
Median length	437
Mean length	260.4329897
Min length	3

Characters and Unicode

Total characters	25262
Distinct characters	89
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	47 ?
Unique (%)	48.5%

Sample

1st row	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd row	nan
3rd row	<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>
4th row	<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>
5th row	<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>

Common Values

Value	Count	Frequency (%)
<p>A 12-episode online series about the funny and touching adventures of a student blogger who promotes the "child free" movement, but is forced to go to work as a volunteer nanny.</p>	12	12.4%
nan	11	11.3%
<p>In 2014, aliens revealed themselves to request trade with humanity. In exchange for limestone, they would provide a consciousness-controlled general-use robot known as an "EXOFRAME". Cheaper than an aircraft, tank, or firearm, and easy enough for anyone to operate, the "EXOFRAME" spreads change throughout the world in the blink of an eye...</p>	6	6.2%
<p>Married couples think back to their dream weddings a year later and discuss all the choices they made. Revisiting the stress, cost and chaos, will these couples think it was all worth it for just one day?</p>	4	4.1%
<p>When Børge Ousland goes on a trip, it's serious. Last autumn, he crossed the Arctic Ocean on skis. Everything did not go exactly according to plan. What happened along the way? <b>Exit Nordpolen</b> takes you on an insane expedition.</p>	3	3.1%
<p>Merchant Jiang Shuo and his odd specialist companion Qin Yi Heng purchase frequented houses to exchange them. In any case, alarming things start to occur and each spooky house is by all accounts part of a major riddle. Jiang Shuo, Yi Heng, and police officer Yuan Mu Qing attempt to understand the riddle.</p>	2	2.1%
<p>Cheyenne has been out of jail for six months now, working as a cleaner on the ferries whilst dreaming about traveling to the Amazon. Lola is a beautiful Parisian woman, selfish and ruthless, who has just arrived in the north of France to move in with her lover. But when Cheyenne witnesses Lola killing her lover's wife, she knows she's going to be accused of the crime because of her criminal past.</p>	2	2.1%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2	2.1%
<p>The police are investigating a case that involves a death directly caused by a rare bug known as the bullet ant. In order to clear his name, Tan Jingtian, an Insect toxicology graduate becomes involved in the bizzare investigation and collaborates with forensic doctor Jin Ling. As they dig deeper, they uncover the mystery behind his own identity.</p><p>Along with police captain Chen Han and the other detectives, they trace every clue as they solve one case at a time to uncover the murderer that has been in hiding for many years.</p>	2	2.1%
<p>Pan, a desolate plastic surgeon, lived a repetitive and boring life every day until a conspiracy happened. He woke up in an abandoned factory, and found that someone had replaced his identity with a face exactly like him. His world has been completely overturned and left in a perilous situation. Can he overcome the difficulties and peel away the truth? How would he regain his identity?</p>	2	2.1%
Other values (49)	51	52.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	242	5.9%
and	138	3.3%
to	126	3.0%
a	120	2.9%
of	99	2.4%
in	76	1.8%
with	45	1.1%
is	44	1.1%
as	41	1.0%
an	38	0.9%
Other values (1325)	3165	76.6%

Most occurring characters

Value	Count	Frequency (%)
	4026	15.9%
e	2476	9.8%
t	1620	6.4%
n	1504	6.0%
o	1503	5.9%
a	1472	5.8%
i	1339	5.3%
s	1252	5.0%
r	1170	4.6%
h	930	3.7%
Other values (79)	7970	31.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19085	75.5%
Space Separator	4037	16.0%
Uppercase Letter	761	3.0%
Other Punctuation	740	2.9%
Math Symbol	498	2.0%
Decimal Number	72	0.3%
Dash Punctuation	62	0.2%
Close Punctuation	3	< 0.1%
Open Punctuation	3	< 0.1%
Initial Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2476	13.0%
t	1620	8.5%
n	1504	7.9%
o	1503	7.9%
a	1472	7.7%
i	1339	7.0%
s	1252	6.6%
r	1170	6.1%
h	930	4.9%
l	759	4.0%
Other values (23)	5060	26.5%

Uppercase Letter

Value	Count	Frequency (%)
A	84	11.0%
T	64	8.4%
E	46	6.0%
I	45	5.9%
M	41	5.4%
C	41	5.4%
H	38	5.0%
L	35	4.6%
R	34	4.5%
F	33	4.3%
Other values (17)	300	39.4%

Other Punctuation

Value	Count	Frequency (%)
,	245	33.1%
.	215	29.1%
/	129	17.4%
"	59	8.0%
'	53	7.2%
?	15	2.0%
!	11	1.5%
:	6	0.8%
…	4	0.5%
;	3	0.4%

Decimal Number

Value	Count	Frequency (%)
1	24	33.3%
2	24	33.3%
0	13	18.1%
4	6	8.3%
5	1	1.4%
6	1	1.4%
8	1	1.4%
7	1	1.4%
3	1	1.4%

Dash Punctuation

Value	Count	Frequency (%)
-	52	83.9%
—	9	14.5%
–	1	1.6%

Space Separator

Value	Count	Frequency (%)
	4026	99.7%
	11	0.3%

Math Symbol

Value	Count	Frequency (%)
<	249	50.0%
>	249	50.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19846	78.6%
Common	5416	21.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2476	12.5%
t	1620	8.2%
n	1504	7.6%
o	1503	7.6%
a	1472	7.4%
i	1339	6.7%
s	1252	6.3%
r	1170	5.9%
h	930	4.7%
l	759	3.8%
Other values (50)	5821	29.3%

Common

Value	Count	Frequency (%)
	4026	74.3%
<	249	4.6%
>	249	4.6%
,	245	4.5%
.	215	4.0%
/	129	2.4%
"	59	1.1%
'	53	1.0%
-	52	1.0%
1	24	0.4%
Other values (19)	115	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25223	99.8%
None	24	0.1%
Punctuation	15	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4026	16.0%
e	2476	9.8%
t	1620	6.4%
n	1504	6.0%
o	1503	6.0%
a	1472	5.8%
i	1339	5.3%
s	1252	5.0%
r	1170	4.6%
h	930	3.7%
Other values (66)	7931	31.4%

None

Value	Count	Frequency (%)
	11	45.8%
ø	5	20.8%
ü	2	8.3%
á	1	4.2%
å	1	4.2%
Ç	1	4.2%
ö	1	4.2%
ş	1	4.2%
é	1	4.2%

Punctuation

Value	Count	Frequency (%)
—	9	60.0%
…	4	26.7%
‘	1	6.7%
–	1	6.7%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	67
Distinct (%)	69.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1631596432

Minimum	1604587119
Maximum	1651933209
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	904.0 B

Quantile statistics

Minimum	1604587119
5-th percentile	1607713197
Q1	1613555245
median	1634913215
Q3	1649705311
95-th percentile	1651766819
Maximum	1651933209
Range	47346090
Interquartile range (IQR)	36150066

Descriptive statistics

Standard deviation	17017224.59
Coefficient of variation (CV)	0.01042980007
Kurtosis	-1.61854674
Mean	1631596432
Median Absolute Deviation (MAD)	15995585
Skewness	-0.2060257723
Sum	1.582648539 × 10¹¹
Variance	2.895859327 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1613555245	12	12.4%
1630797304	6	6.2%
1621190361	4	4.1%
1612976116	3	3.1%
1651838463	2	2.1%
1634049890	2	2.1%
1609060726	2	2.1%
1650826480	2	2.1%
1606418164	2	2.1%
1609535141	2	2.1%
Other values (57)	60	61.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1604587119	1	1.0%
1606418164	2	2.1%
1607697965	2	2.1%
1607717005	1	1.0%
1608334302	1	1.0%
1608352967	1	1.0%
1608406279	1	1.0%
1608499007	1	1.0%
1609060726	2	2.1%
1609535141	2	2.1%

Value	Count	Frequency (%)
1651933209	1	1.0%
1651838647	1	1.0%
1651838463	2	2.1%
1651777316	1	1.0%
1651764195	1	1.0%
1651615415	1	1.0%
1651591124	1	1.0%
1651261416	1	1.0%
1651253459	1	1.0%
1651253250	1	1.0%

_links_self_href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	97
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	904.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/1996820	1
https://api.tvmaze.com/episodes/1949330	1
https://api.tvmaze.com/episodes/1949329	1
https://api.tvmaze.com/episodes/2176148	1
Other values (92)	92

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	3783
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	97 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.0%
https://api.tvmaze.com/episodes/1996820	1	1.0%
https://api.tvmaze.com/episodes/1949330	1	1.0%
https://api.tvmaze.com/episodes/1949329	1	1.0%
https://api.tvmaze.com/episodes/2176148	1	1.0%
https://api.tvmaze.com/episodes/2189555	1	1.0%
https://api.tvmaze.com/episodes/1998683	1	1.0%
https://api.tvmaze.com/episodes/1998682	1	1.0%
https://api.tvmaze.com/episodes/1998681	1	1.0%
https://api.tvmaze.com/episodes/1998680	1	1.0%
Other values (87)	87	89.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.0%
https://api.tvmaze.com/episodes/2015818	1	1.0%
https://api.tvmaze.com/episodes/1964000	1	1.0%
https://api.tvmaze.com/episodes/1995405	1	1.0%
https://api.tvmaze.com/episodes/2007760	1	1.0%
https://api.tvmaze.com/episodes/1985789	1	1.0%
https://api.tvmaze.com/episodes/2039622	1	1.0%
https://api.tvmaze.com/episodes/2039623	1	1.0%
https://api.tvmaze.com/episodes/2324427	1	1.0%
https://api.tvmaze.com/episodes/2324428	1	1.0%
Other values (87)	87	89.7%

Most occurring characters

Value	Count	Frequency (%)
/	388	10.3%
p	291	7.7%
s	291	7.7%
e	291	7.7%
t	291	7.7%
o	194	5.1%
a	194	5.1%
i	194	5.1%
.	194	5.1%
m	194	5.1%
Other values (16)	1261	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2425	64.1%
Other Punctuation	679	17.9%
Decimal Number	679	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	291	12.0%
s	291	12.0%
e	291	12.0%
t	291	12.0%
o	194	8.0%
a	194	8.0%
i	194	8.0%
m	194	8.0%
h	97	4.0%
d	97	4.0%
Other values (3)	291	12.0%

Decimal Number

Value	Count	Frequency (%)
9	116	17.1%
2	100	14.7%
1	89	13.1%
0	73	10.8%
3	61	9.0%
8	57	8.4%
6	51	7.5%
4	46	6.8%
7	44	6.5%
5	42	6.2%

Other Punctuation

Value	Count	Frequency (%)
/	388	57.1%
.	194	28.6%
:	97	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2425	64.1%
Common	1358	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	388	28.6%
.	194	14.3%
9	116	8.5%
2	100	7.4%
:	97	7.1%
1	89	6.6%
0	73	5.4%
3	61	4.5%
8	57	4.2%
6	51	3.8%
Other values (3)	132	9.7%

Latin

Value	Count	Frequency (%)
p	291	12.0%
s	291	12.0%
e	291	12.0%
t	291	12.0%
o	194	8.0%
a	194	8.0%
i	194	8.0%
m	194	8.0%
h	97	4.0%
d	97	4.0%
Other values (3)	291	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3783	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	388	10.3%
p	291	7.7%
s	291	7.7%
e	291	7.7%
t	291	7.7%
o	194	5.1%
a	194	5.1%
i	194	5.1%
.	194	5.1%
m	194	5.1%
Other values (16)	1261	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1979824	https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16	Chanyeol's Episode 16	4.0	16.0	regular	2020-12-01	06:00	2020-11-30T21:00:00+00:00	16.0	None	<p><b>#ObtainedAConversationalSkill #WeSetUpATent♥ #ManySmiles</b></p>	41648	https://www.tvmaze.com/shows/41648/sim-for-you	Sim for You	Reality	Korean	[]	Running	16.0	16.0	2019-03-25	nan	https://www.vlive.tv/video/121637	71.0	nan	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>	1.608499e+09	https://api.tvmaze.com/episodes/1977902
1	1979222	https://www.tvmaze.com/episodes/1979222/kotiki-1x02-seria-2	Серия 2	1.0	2.0	regular	2020-12-01	nan	2020-12-01T00:00:00+00:00	12.0	None	nan	52198	https://www.tvmaze.com/shows/52198/kotiki	Котики	Scripted	Russian	['Comedy']	Ended	12.0	12.0	2020-11-30	2020-12-11	http://epic-media.ru/project/kotiki	15.0	nan	nan	1.637555e+09	https://api.tvmaze.com/episodes/2015818
2	2008027	https://www.tvmaze.com/episodes/2008027/lab-s-antonom-belaevym-2x06-lolita	Лолита	2.0	6.0	regular	2020-12-01	nan	2020-12-01T00:00:00+00:00	29.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737206.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737206.jpg'}	nan	52933	https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym	LAB с Антоном Беляевым	Documentary	Russian	['Music']	Running	26.0	25.0	2019-12-17	nan	https://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c326	15.0	nan	<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>	1.641808e+09	https://api.tvmaze.com/episodes/1964000
3	1964565	https://www.tvmaze.com/episodes/1964565/core-sense-1x09-episode-9	Episode 9	1.0	9.0	regular	2020-12-01	10:00	2020-12-01T02:00:00+00:00	24.0	None	nan	51336	https://www.tvmaze.com/shows/51336/core-sense	Core Sense	Animation	Chinese	['Action', 'Anime', 'Science-Fiction']	Running	24.0	24.0	2020-10-13	nan	https://www.bilibili.com/bangumi/media/md28223064	37.0	nan	<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>	1.604587e+09	https://api.tvmaze.com/episodes/1995405
4	2052503	https://www.tvmaze.com/episodes/2052503/wu-shen-zhu-zai-1x80-episode-80	Episode 80	1.0	80.0	regular	2020-12-01	10:00	2020-12-01T02:00:00+00:00	8.0	None	nan	54033	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai	Wu Shen Zhu Zai	Animation	Chinese	['Action', 'Adventure', 'Anime', 'Fantasy']	Running	8.0	8.0	2020-03-08	nan	https://v.qq.com/detail/m/7q544xyrava3vxf.html	76.0	nan	<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>	1.649423e+09	https://api.tvmaze.com/episodes/2007760
5	2315116	https://www.tvmaze.com/episodes/2315116/sono-koi-mousukoshi-atatamemasuka-1x05-episode-5	Episode 5	1.0	5.0	regular	2020-12-01	nan	2020-12-01T03:00:00+00:00	15.0	None	nan	61674	https://www.tvmaze.com/shows/61674/sono-koi-mousukoshi-atatamemasuka	Sono koi Mousukoshi Atatamemasuka	Scripted	Japanese	['Romance']	Ended	15.0	15.0	2020-10-20	2020-12-22	https://www.paravi.jp/static/koisuko	6.0	nan	<p>It's spin-off drama of <b>"Kono Koi Atatamemasu ka"</b></p>	1.650915e+09	https://api.tvmaze.com/episodes/1985789
6	1973538	https://www.tvmaze.com/episodes/1973538/please-wait-brother-1x17-episode-17	Episode 17	1.0	17.0	regular	2020-12-01	12:00	2020-12-01T04:00:00+00:00	37.0	None	nan	52038	https://www.tvmaze.com/shows/52038/please-wait-brother	Please Wait, Brother	Scripted	Chinese	['Comedy']	Ended	37.0	37.0	2020-11-17	2020-12-08	nan	14.0	nan	nan	1.607698e+09	https://api.tvmaze.com/episodes/2039622
7	1973539	https://www.tvmaze.com/episodes/1973539/please-wait-brother-1x18-episode-18	Episode 18	1.0	18.0	regular	2020-12-01	12:00	2020-12-01T04:00:00+00:00	37.0	None	nan	52038	https://www.tvmaze.com/shows/52038/please-wait-brother	Please Wait, Brother	Scripted	Chinese	['Comedy']	Ended	37.0	37.0	2020-11-17	2020-12-08	nan	14.0	nan	nan	1.607698e+09	https://api.tvmaze.com/episodes/2039623
8	1984264	https://www.tvmaze.com/episodes/1984264/fearless-whispers-1x51-episode-51	Episode 51	1.0	51.0	regular	2020-12-01	nan	2020-12-01T04:00:00+00:00	60.0	None	nan	52373	https://www.tvmaze.com/shows/52373/fearless-whispers	Fearless Whispers	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	60.0	60.0	2020-11-06	2020-12-01	nan	15.0	nan	<p>A story revolving around a fresh graduate who holds an idealistic view of what's right and wrong, yet realizes that the very institution he chose to serve falls heavily onto a gray area caught in the struggles during chaotic times.</p>	1.607717e+09	https://api.tvmaze.com/episodes/2324427
9	2082171	https://www.tvmaze.com/episodes/2082171/ling-jian-zun-4x28-di128ji	第128集	4.0	28.0	regular	2020-12-01	nan	2020-12-01T04:00:00+00:00	10.0	None	nan	55016	https://www.tvmaze.com/shows/55016/ling-jian-zun	Ling Jian Zun	Animation	Chinese	['Anime']	Running	10.0	10.0	2019-01-15	nan	https://v.qq.com/x/cover/2w2legt0g8z26al.html	45.0	nan	<p>The strong man was attacked and returned to his youth. He became the weakest waste young lord. He will never let go of the enemy of the previous life in this life and must make up the regret of the previous life in this life! By the time the Spirit Sword is powerful, the protagonist will be supreme in the three worlds between heaven and earth! If there is someone doesn't obey him, he will kill him with the sword!</p><p><br /> </p>	1.640703e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
87	1976871	https://www.tvmaze.com/episodes/1976871/nfl-films-presents-2020-12-01-sights-and-sounds-of-success	Sights and Sounds of Success	2020.0	13.0	regular	2020-12-01	08:30	2020-12-01T13:30:00+00:00	30.0	None	nan	6441	https://www.tvmaze.com/shows/6441/nfl-films-presents	NFL Films Presents	Sports	English	[]	Running	30.0	30.0	1999-08-23	nan	http://www.nfl.com/videos/nfl-films-presents	26.0	nan	<p><b>NFL Films Presents</b> is devoted to producing commercials, television programs, feature films, and documentaries on the National Football League, as well as other unrelated major events and awards shows. It is currently owned by the NFL and produces most of its videotaped content except its live game coverage, which is handled separately by the individual networks."</p>	1.651026e+09	https://api.tvmaze.com/episodes/1985483
88	2311017	https://www.tvmaze.com/episodes/2311017/toki-wo-kakeru-bando-1x07-chahhan-sane	CHAHHAN SANE	1.0	7.0	regular	2020-12-01	00:25	2020-12-01T15:25:00+00:00	26.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/403/1009865.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/403/1009865.jpg'}	<p>After the audition, 'Yuki Ebana' was confessed to 'Seiichi Izumi'. 'Shiori Kato' and 'Hitoko Murakami' witnessed it, and Hitoko, who had been thinking about Seiichi, screamed and ran away, and Shiori chased it.<br />On the other hand, for some reason, 'Ryo' will be drunk with Seiichi's band members 'Taki Hiroto' and 'Tsubaki Aoi', and will be re-drinked at Taki and Taki's house. Taki tells Ryo that he is thinking of leaving the band and becoming a doctor. Ryo presses the taiko stamp that Taki can be compatible, but Taki is not serious. Taki notices that something is wrong with Ryo's body, but Ryo tells others to keep silent.<br />In Seiichi's confession, Yuki and Hitoko were jerky. Meanwhile, the president 'Yuichi Yanagishita' called and told that the major debut of 'Chahhan' was decided. Three people who rejoice.<br />However, when I went to the office a few days later, I found that the debut song was not the original song, but a song made by a stranger ('77'). The three are not convinced, but Yuki remembers something stuck in the lyrics of 'No. 77' ...</p>	61530	https://www.tvmaze.com/shows/61530/toki-wo-kakeru-bando	Toki wo Kakeru Bando	Scripted	Japanese	['Comedy', 'Music', 'Science-Fiction']	Ended	27.0	26.0	2020-10-20	2020-12-22	https://www.fujitv.co.jp/tokikake/	0.0	{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}	<p>A story about Ryo, a mysterious and self-proclaimed music producer from the future, producing a girl band of three girls and leading them to stardom. A comical and tempo conversational drama, and various trials to produce the youth of young people who play music with comedy touch.</p>	1.649705e+09	https://api.tvmaze.com/episodes/1985484
89	2165005	https://www.tvmaze.com/episodes/2165005/all-about-android-2020-12-01-android-ostracization	Android Ostracization	2020.0	48.0	regular	2020-12-01	nan	2020-12-01T17:00:00+00:00	90.0	None	nan	17633	https://www.tvmaze.com/shows/17633/all-about-android	All About Android	News	English	[]	Running	90.0	90.0	2011-03-29	nan	https://twit.tv/shows/all-about-android	30.0	nan	<p><b>All About Android </b>delivers everything you want to know about Android each week -- the biggest news, freshest hardware, best apps and geekiest how-to's -- with Android enthusiasts Jason Howell, Florence Ion, Ron Richards, and a variety of special guests along the way.</p>	1.650312e+09	https://api.tvmaze.com/episodes/1988405
90	1963910	https://www.tvmaze.com/episodes/1963910/a-teacher-1x06-episode-6	Episode 6	1.0	6.0	regular	2020-12-01	nan	2020-12-01T17:00:00+00:00	24.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710176.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710176.jpg'}	<p>As Claire's world begins to crumble, an uncertain Eric is pressed to reveal intimate details of his relationship.</p>	38339	https://www.tvmaze.com/shows/38339/a-teacher	A Teacher	Scripted	English	['Drama']	Ended	NaN	27.0	2020-11-10	2020-12-29	https://www.hulu.com/series/a-teacher-1c871218-05b1-4c66-a22f-260b2cb9bbf9	91.0	nan	<p><b>A Teacher</b> examines the complexities and consequences of an illegal relationship between a female teacher, Claire and her male high school student, Eric. Dissatisfied in their own lives, Claire and Eric discover an undeniable escape in each other, but their relationship accelerates faster than anticipated and the permanent damage becomes impossible to ignore.</p>	1.637345e+09	https://api.tvmaze.com/episodes/1997537
91	1977755	https://www.tvmaze.com/episodes/1977755/tooning-out-the-news-1x105-inside-the-hill	"Inside the Hill"	1.0	105.0	regular	2020-12-01	nan	2020-12-01T17:00:00+00:00	7.0	None	<p>Inside The Hill breaks down Trump's voter fraud conspiracy theories, Biden's cabinet picks, and Senate candidate Kelly Loeffler's campaign ad with guest Rep. Linda Sanchez (D-CA).</p>	45812	https://www.tvmaze.com/shows/45812/tooning-out-the-news	Tooning Out the News	Animation	English	['Comedy']	Running	NaN	13.0	2020-04-07	nan	https://www.paramountplus.com/shows/tooning-out-the-news/	43.0	nan	<p><b>Tooning Out the News</b> will provide short daily segments leading up to a weekly full episodes featuring a cast of animated characters mocking news of the day, and interviewing real-world guests and newsmakers.</p>	1.636748e+09	https://api.tvmaze.com/episodes/1997538
92	1979393	https://www.tvmaze.com/episodes/1979393/i-was-a-teenage-felon-1x09-the-k2-kingpin	The K2 Kingpin	1.0	9.0	regular	2020-12-01	nan	2020-12-01T17:00:00+00:00	60.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/359/897951.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/359/897951.jpg'}	<p>K2 is a mysterious and extremly destructive drug that 18 yr old Yazz not only abused but also trafficked, earning him 100k a week while also causing him to spiral out of control.</p>	50661	https://www.tvmaze.com/shows/50661/i-was-a-teenage-felon	I Was a Teenage Felon	Documentary	English	['Crime']	Running	60.0	60.0	2020-09-22	nan	https://video.vice.com/en_us/show/i-was-a-teenage-felon	41.0	nan	<p>Former criminals tell the true tales of their rollercoaster ride from average American kids to wildly successful outlaws.</p>	1.637763e+09	https://api.tvmaze.com/episodes/2000072
93	1960028	https://www.tvmaze.com/episodes/1960028/goede-tijden-slechte-tijden-31x54-aflevering-6309	Aflevering 6309	31.0	54.0	regular	2020-12-01	20:00	2020-12-01T19:00:00+00:00	23.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/285/712958.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/285/712958.jpg'}	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/2000073
94	1976929	https://www.tvmaze.com/episodes/1976929/cheyenne-et-lola-1x03-les-chacals	Les chacals	1.0	3.0	regular	2020-12-01	20:40	2020-12-01T19:40:00+00:00	50.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724603.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724603.jpg'}	<p>Cheyenne découvre qu'un policier ripou dont elle ignore l'identité est l'informateur de Yannick.</p>	50106	https://www.tvmaze.com/shows/50106/cheyenne-et-lola	Cheyenne et Lola	Scripted	French	['Drama', 'Comedy', 'Crime']	Running	50.0	50.0	2020-11-24	nan	https://go.ocs.fr/details/serie/PSCHEYENNEEW0168259	40.0	nan	<p>Cheyenne has been out of jail for six months now, working as a cleaner on the ferries whilst dreaming about traveling to the Amazon. Lola is a beautiful Parisian woman, selfish and ruthless, who has just arrived in the north of France to move in with her lover. But when Cheyenne witnesses Lola killing her lover's wife, she knows she's going to be accused of the crime because of her criminal past.</p>	1.644651e+09	https://api.tvmaze.com/episodes/2001665
95	1976930	https://www.tvmaze.com/episodes/1976930/cheyenne-et-lola-1x04-eldorado	Eldorado	1.0	4.0	regular	2020-12-01	20:40	2020-12-01T19:40:00+00:00	50.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724604.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724604.jpg'}	<p>Cheyenne se fait passer pour le bras droit de l'Anglais auprès d'un passeur nigérian.</p>	50106	https://www.tvmaze.com/shows/50106/cheyenne-et-lola	Cheyenne et Lola	Scripted	French	['Drama', 'Comedy', 'Crime']	Running	50.0	50.0	2020-11-24	nan	https://go.ocs.fr/details/serie/PSCHEYENNEEW0168259	40.0	nan	<p>Cheyenne has been out of jail for six months now, working as a cleaner on the ferries whilst dreaming about traveling to the Amazon. Lola is a beautiful Parisian woman, selfish and ruthless, who has just arrived in the north of France to move in with her lover. But when Cheyenne witnesses Lola killing her lover's wife, she knows she's going to be accused of the crime because of her criminal past.</p>	1.644651e+09	https://api.tvmaze.com/episodes/2001666
96	1978451	https://www.tvmaze.com/episodes/1978451/chicken-girls-7x13-breakfast-club	Breakfast Club	7.0	13.0	regular	2020-12-01	15:00	2020-12-01T20:00:00+00:00	16.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/369/923709.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/369/923709.jpg'}	<p>In detention, the girls put aside their differences. </p>	32087	https://www.tvmaze.com/shows/32087/chicken-girls	Chicken Girls	Scripted	English	['Drama', 'Children', 'Music']	Running	NaN	14.0	2017-09-05	nan	https://www.youtube.com/playlist?list=PLVewHiZp3_LPhqzbcZFmS3iuDm9HymTsy	81.0	nan	<p>Rhyme and her friends — known by their 'ship name, "The Chicken Girls" — have been dancing together forever. But this year, everything's changing...</p>	1.650395e+09	https://api.tvmaze.com/episodes/2001667

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